(YIP) Detecting, Analyzing, Modeling Adversarial Propaganda in Social Media

Abstract

This research project has focused on detecting, analyzing, and modeling campaigns engaged in strategic manipulation in social media. Research questions investigated include: Can we detect campaigns engaging in strategic manipulation efficiently and effectively, considering the massive and growing scale of social systems? What approaches are in use? How do they evolve? What impacts do spatial and temporal constraints of social media have on strategic manipulation? What are the dynamics of strategic manipulation?

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Document Details

Document Type
Technical Report
Publication Date
Oct 26, 2015
Accession Number
AD1000742

Entities

People

  • James Caverlee

Organizations

  • Texas Engineering Experiment Station

Tags

Communities of Interest

  • Cyber
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Computational Science
  • Contracts
  • Electronic Mail
  • Information Operations
  • Information Retrieval
  • Information Science
  • Knowledge Management
  • Machine Learning
  • Network Science
  • Online Communications
  • Probabilistic Models
  • Probability
  • Social Media
  • Social Networking Services
  • Social Networks
  • Statistical Analysis
  • Websites

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Strategic Security Studies